@InProceedings{SantosArFrSoGaDu:2002:AnFoBi,
               author = "Santos, Jo{\~a}o Roberto dos Santos and Araujo, Luciana Spinelli 
                         de and Freitas, Corina da Costa and Soler, Luciana de Souza and 
                         Gama, Fabio Furlan and Dutra, Luciano Vieira",
                title = "Analysis of forest biomass variation in the Amazon and its' 
                         influence on the response of P-band SAR polarimetric data",
            booktitle = "Proceedings...",
                 year = "2002",
               editor = "Owe, Manfred and D'Urso, Guido and Toulios, Leonidas",
                pages = "252--325",
         organization = "International Symposium on Remote Sensing, 9.",
            publisher = "SPIE",
             keywords = "Algorithms, Biomass, Data acquisition, Image analysis, Image 
                         segmentation, Land use, Radar imaging, Regression analysis, 
                         Synthetic aperture radar, Vegetation, P-band imagery acquisition, 
                         P-band polarimetric data, Tropical rain forest, Remote sensing.",
             abstract = "Radar images are presently being used in association with optical 
                         remote sensing data to characterize the different processes of 
                         land use in Brazilian Amazon region. Considering the current 
                         development in remote sensing technques for estimating forest 
                         biomass, where L, X and C band images have their limitations, it 
                         was recently accomplished scientific airborne mission with image 
                         polarimetric P-band imagery acquisition at lower Rio Tapaj{\'o}s 
                         region, Brazil. This study analyses the biomass variation of the 
                         primary forest and secondary succession and it's influence on 
                         response of backscatter values in the P-band polarimetric images. 
                         The start of this study was the understanding behavior of the 
                         structural variables of the vegetation cover (measured during the 
                         field survey) and its' correlation the backscatter data obtained 
                         from PHH-, PHV - and Pvv - band data. A statistical regression 
                         model was used to verify the relationship between biomass 
                         (estimate by different allometric equations) and P-band 
                         polarimetric data. Based on the regression equation that best fits 
                         the data sets, a biomass map was elaborated. This was done through 
                         the segmentation of the backscatter image, using Caesar 3.0 rwseg 
                         algorithm (based on the successive edge detedting and region 
                         growing procedures) wth the 0º of each resulting segment was 
                         coverted into biomass values by the best fit function. The final 
                         goal of this P-band experiment is to improve the regional 
                         inventory and monitoring biomas dynamics, as well as landscape 
                         changes, due to human action in Amazon.",
  conference-location = "Grete-Creece",
      conference-year = "23-27",
           copyholder = "SID/SCD",
                 issn = "0277786X",
             language = "en",
           targetfile = "INPE 10480.pdf",
        urlaccessdate = "05 maio 2024"
}